Optimizing Spares Support: The Aircraft Sustainability Model.

Abstract

Modem inventory management typically relies, when possible, on quick deliveries from suppliers, and aims to carry minimal inventory. Such practices work best in managing low-cost items with stable demand and significant market size. But supporting advanced military equipment poses unique problems: small fleet sizes and low operating tempos lead to sporadic and unstable demand pattems; components are highly specialized, have limited or uncertain sources of supply, and often procurement lead-times of years. The Aircraft Sustainability Model (ASM), developed by the Logistics Management Institute for the United States Air Force, is a mathematicai model that computes optimal spares mixes to support a wide range of possible operating scenarios. The ASM sizes spares levels based on desired weapon system readiness levels, rather than on supply-oriented measures, such as stock on shelf or percent of demands filled, The ASM has been used by the USAF to determine spares kits to support wartime squadron deployments; an enhanced version handles initial provisioning. This report describes the model, the problems it was developed to solve, and the mathematical techniques it uses to solve them. It is intended for readers with some background in probability and statistics. Familiarity with multi-chelon inventory theory is not required.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1996
Accession Number
ADA320502

Entities

People

  • F. M. Slay
  • Frank L. Eichorn
  • Robert C. Kline
  • T. J. O'malley
  • Tovey C. Bachman

Organizations

  • LMI

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Computational Science
  • Deployment
  • Lead Time
  • Logistics
  • Logistics Management
  • Maintenance
  • Mathematics
  • Military Equipment
  • Probability
  • Procurement
  • Random Variables
  • Statistics
  • Time Intervals
  • United States

Readers

  • Logistics and Supply Chain Management.
  • Systems Analysis and Design